Social robots represent one future technology to mitigate demographic change. However, the deployment and benefits of using social robots largely depend on the acceptance by the employees that need to interact with the robots. Researchers currently use different methods for acceptance analysis because traditional technology acceptance models are seen as inadequate due to the social nature of the robots. This dissertation project provides an innovative method to analyze the acceptance of professional social robots.
Researcher
Nina Merz, M. Sc.
Egerlandstr. 7
91058 Erlangen
91058 Erlangen
- Telefon: +49 9131 85-27970
- Mobil: +491622604267
- E-Mail: nina.merz@faps.fau.de
Publications
- Merz, N., Franke, J., & Bodendorf, F. (2022). Are we prepared for the Rise of Service Robots? – A Review on Acceptance Measurement. In The Human Side of Service Engineering.
DOI: 10.54941/ahfe1002585
BibTeX: Download - Merz, N., Huber, M., Bodendorf, F., & Franke, J. (2020). Science-Fiction Movies as an Indicator for User Acceptance of Robots in a Non-Industrial Environment. In SIGMIS-CPR 2020 – Proceedings of the 2020 Computers and People Research Conference (pp. 142-143). Nuremberg, DEU: Association for Computing Machinery, Inc.
DOI: 10.1145/3378539.3393847
BibTeX: Download